BINSREG
The binsreg package provides tools for statistical analysis using the binscatter methods.
binsreg: implements binscatter least squares regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.binsqreg: implements binscatter quantile regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.binsglm: implements binscatter generalized linear regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.binstest: implements binscatter-based hypothesis testing procedures for parametric specifications of and shape restrictions on the unknown function of interest.binspwc: implements hypothesis testing procedures for pairwise group comparison of binscatter estimators.binsregselect: implements data-driven number of bins selectors for binscatter implementation using either quantile-spaced or evenly-spaced binning/partitioning.
All the commands allow for covariate adjustment, smoothness restrictions, and clustering, among other features. See Cattaneo, Crump, Farrell and Feng (2024, 2025, 2026) for references.
Website: https://nppackages.github.io/.
Source code: https://github.com/nppackages/binsreg.
Authors
Matias D. Cattaneo (matias.d.cattaneo@gmail.com)
Richard K. Crump (richard.crump@gmail.com)
Max H. Farrell (mhfarrell@gmail.com)
Yingjie Feng (fengyingjiepku@gmail.com)
Ricardo Masini (ricardo.masini@gmail.com)
Installation
To install/update use pip
pip install binsreg
Usage
from binsreg import binsregselect, binsreg, binsqreg, binsglm, binstest, binspwc
- Replication: binsreg illustration, plot illustration, simulated data.
Dependencies
- numpy
- pandas
- scipy
- statsmodels
- plotnine
References
For overviews and introductions, see NP Packages website.
Software and Implementation
- Cattaneo, Crump, Farrell and Feng (2025): Binscatter Regressions.
Stata Journal 25(1): 3-50.
Technical and Methodological
-
Cattaneo, Crump, Farrell and Feng (2024): On Binscatter.
American Economic Review 114(5): 1488-1514.
Supplemental Appendix -
Cattaneo, Crump, Farrell and Feng (2026): Nonlinear Binscatter Methods.
Review of Economics and Statistics, revise and resubmit.
Supplemental Appendix
Metadata
Release files for binsreg 3.2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| binsreg-3.2.1.tar.gz | 92.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| binsreg-3.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 184.7 kB
Release files / binsreg-3.2.1.tar.gz
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